Collection of tutorials for working with Positron'. Covers scripts, Quarto documents, Git', GitHub', and Quarto websites. Makes extensive use of the tools in the tutorial.helpers package.

ValueSemantics generates modules that provide conventional value semantics for a given set of attributes. The behaviour is similar to an immutable Struct class, plus extensible, lightweight validation and coercion.

Import maps can import JavaScript modules using logical names that map to versioned/digested files -- directly from the browser. It makes it possible to build modern JavaScript applications using JavaScript libraries made for ES modules (ESM) without the need for transpiling or bundling, which removes the need for Webpack, Yarn, npm, or any other part of the JavaScript toolchain. All that is needed is the asset pipeline that is already included in Rails.

Add and modify small charts on an interactive map created with package leaflet'. These charts can be used to represent at same time multiple variables on a single map.

This package provides methods to integrate functions over m-dimensional simplices in n-dimensional Euclidean space. There are exact methods for polynomials and adaptive methods for integrating an arbitrary function.

AWS-LC is a general-purpose cryptographic library maintained by the AWS Cryptography team for AWS and their customers. This is the FIPS validated version of AWS-LC.

AWS-LC is a general-purpose cryptographic library maintained by the AWS Cryptography team for AWS and their customers. This is the FIPS validated version of AWS-LC.

Flat Remix GTK is a GTK application theme inspired by material design. It is mostly flat using a colorful palette with some shadows, highlights, and gradients for some depth.

This library provides a generic OAuth2 strategy for OmniAuth. It doesn't provide a way to gather user information, so should be used as a building block for authentication strategies.

This package provides functions for calculating and analyzing the proliferative index (PI) from an RNA-seq dataset. As described in Ramaker & Lasseigne, et al. bioRxiv, 2016 <doi:10.1101/063057>.

This package provides a new clustering algorithm, binary cut, for clustering similarity matrices of functional terms is implemented in this package. It also provides functionalities for visualizing, summarizing and comparing the clusterings.

CL-random-forest is an implementation of Random Forest for multiclass classification and univariate regression written in Common Lisp. It also includes an implementation of Global Refinement of Random Forest.

This crate aims to emulate sentencepiece Dart::DoubleArray struct and it's Normalizer. This crate is highly specialized and not intended for general use.

This package provides a modeltime extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.

New tools for post-selection inference, for use with forward stepwise regression, least angle regression, the lasso, and the many means problem. The lasso function implements Gaussian, logistic and Cox survival models.

The visualization tool offers a nuanced understanding of regression dynamics, going beyond traditional per-unit interpretation of continuous variables versus categorical ones. It highlights the impact of unit changes as well as larger shifts like interquartile changes, acknowledging the distribution of empirical data. Furthermore, it generates visualizations depicting alterations in Odds Ratios for predictors across minimum, first quartile, median, third quartile, and maximum values, aiding in comprehending predictor-outcome interplay within empirical data distributions, particularly in logistic regression frameworks.

Perform post hoc analysis based on residuals of Pearson's Chi-squared Test for Count Data based on T. Mark Beasley & Randall E. Schumacker (1995) <doi: 10.1080/00220973.1995.9943797>.

This package provides access to six fundamental statistics that can be used for the purpose of combination p-values. All methods used can referenced here: Heard & Rubin-Delanchy (2017) <arXiv:1707.06897>.

This package provides a set of Study Data Tabulation Model (SDTM) datasets constructed by modifying the pharmaversesdtm package to meet J&J Innovative Medicine's standard data structure for Clinical and Statistical Programming.

This package contains data for the ChIPexoQual package, consisting of 3 chromosome 1 aligned reads from a ChIP-exo experiment for FoxA1 in mouse liver cell lines aligned to the mm9 genome.

shoulda-context is the context framework extracted from Shoulda. Instead of writing Ruby methods with lots_of_underscores, shoulda-context adds context, setup, and should blocks combine to produce natural test method names.

This package provides a graphical user interface for simulating the effects of mergers, tariffs, and quotas under an assortment of different economic models. The interface is powered by the Shiny web application framework from RStudio'.

This package contains data and code to accompany the book P. Zuccolotto and M. Manisera (2020) Basketball Data Science. Applications with R. CRC Press. ISBN 9781138600799. For more details, see the page bdsports.unibs.it/basketballanalyzer/.

This package provides Some of the most important evaluation measures for evaluating a model. Just by giving the real and predicted class, measures such as accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be returned.